Alcohol dependence, a common psychiatric disorder in the

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1 Original Article Quality of life as an outcome measure in the treatment of alcohol dependence A B S T R A C T Shruti Srivastava, Manjeet S. Bhatia Department of Psychiatry, University College of Medical Sciences and Guru Tegh Bahadur Hospital, Dilshad Garden, Delhi, India Address for correspondence: Dr. Shruti Srivastava, Department of Psychiatry, University College of Medical Sciences and Guru Tegh Bahadur Hospital, Dilshad Garden, Delhi , India. E mail: srivastava_shruti@ hotmail.com Background: Quality of life has emerged as an important treatment outcome measure for alcohol dependence whose natural course comprises of remission and relapse. Materials and Methods: The purpose of this study was to examine the prospective change in Quality of life (QoL) in 56 patients aged years of alcohol dependence over a three months period and compare it with QoL of 150 age and gender matched healthy controls using WHOQoL BREF. Severity of alcohol dependence and drinking parameters were assessed. Results: Significant improvement in QoL of patients of alcohol dependence over three months abstinence. The physical, psychological, social, and environment domains of QoL in alcohol dependence subjects were significantly lower before treatment initiation than the healthy controls. Alcoholic liver disease emerged as a predictor of improvement in psychological and social domains of QoL. Conclusion: The study confirms poor quality of life in patients of alcohol dependence before intervention. The regular follow up with the family members in out patient setting enables the patients achieve complete abstinence, thereby improving their quality of life. Keywords: Abstinence, alcohol dependence, quality of life, treatment outcome Alcohol dependence, a common psychiatric disorder in the general population, has a significant impact on health. In recent years, alcohol dependence has become a major social and personal menace in most societies. According to Global Status Report on Alcohol, [1] alcohol use disorders accounted for 1.4% of the global disease burden. Alcohol consumption causes 3.2% of deaths (1.8 million) and 4.0% of the disability adjusted life years lost (58.3 million). In northern India including Delhi, the 1 year prevalence of alcohol use has been estimated as 25 to 40% in the general population, whereas in southern India, this rate has been estimated as 30 to 50%. In southern India, the prevalence of alcohol use is higher among people of lower socio economic status and those with lower levels of education. [2] A large scale survey over 32,000 people performed in 2001 in India found alcohol use rates of 20 to 38% in males and 10% among females. [3] Some people are more likely to experience the consequences of alcohol use. Access this article online Quick Response Code: Website: DOI: / These tend to be male [4,5] having high perceived stress and anxiety with dissatisfaction and poor quality of life, lack of social support, economic strains, and chronic stress. [6] Das, Balakrishnan, and Vasudevan reported that in a developing country like India, over 20% of all disability adjusted life years are lost chiefly because of poor health status of the people, marked nutritional deficiencies, and widely prevalent alcohol addiction. [7] QoL is an important parameter that provides an insight into how a disorder impacts life of those affected. World Health Organization [8] defined quality of life as an individual s perception of their position in life, and in the context of culture and value systems in which they live, and also in relation to their goals, expectations, standards, and concerns. Among various psychiatric disorders, alcohol related disorders significantly affect QoL, but this area has not been extensively studied. The alcohol use disorder, which is usually chronic, requires patients to muster all their capacities for reconstruction and adaptation. QoL, which is a concept situated between social and clinical sciences, is a pertinent indicator to evaluate the subjective experience of the patient and to quantify the psychosocial burden of alcoholism. [9,10] Patient reported outcome measures such as QoL may be useful in orientating choice between different therapeutic options since effective Industrial Psychiatry Journal 41

2 treatment should not only improve the clinical state and prognosis of the patient but also their QoL. In current practice, the QoL of alcohol dependent patients is not measured systematically, even though this is relevant to the psychosocial context of interventions. [11,12] Studies on alcohol dependent patients have found QoL as considerably decreased, but little information is available on how QoL changes following a therapeutic intervention. [11 14] Some studies had reported a poor QoL in alcohol dependent patients at the beginning of treatment, but the factors responsible for it have not been investigated in a systematic way. [15,16] Foster et al. [17] reviewed QoL in alcohol dependent subjects and noted 24 publications on the topic from 1982 to A Medline BIDS database record search from 1998 to 2004 with the same key words identifies only three additional studies. QoL of alcohol dependent subjects was reduced compared with that of a normative healthy population. [14,18,19] Foster et al. [20] reported poorer quality of life for women in comparison to men who were alcohol dependent. There is paucity of published literature on QoL in alcohol dependence subjects treated in an outpatient clinic. To the best of our knowledge, this is the first study from a developing country, which incorporated laboratory parameters, psychosocial consequences, drinking parameters associated with changes in QoL of alcohol dependence subjects after intervention in an outpatient setting. The present study was, therefore, undertaken with objectives (1) to determine the change in QoL in patients of alcohol dependence subjects prospectively over three months follow up; (2) compare QoL among patients with alcohol dependence and healthy controls and assess the relationship between disease severity and QoL; and (3) study the factors associated with the outcome of QoL. MATERIALS AND METHODS The sample consisted of consecutive male patients aged 18 to 45 years suffering from alcohol dependence according to DSM IV TR criteria. [21] The present study was conducted in the De addiction Outpatient Clinic of University College of Medical Sciences and Guru Teg Bahadur Hospital, a tertiary care hospital in Delhi, from November 2007 to June All the consecutive men suffering from alcohol dependence, who were not in intoxicated state, were requested to participate in the study. Approval for the study was obtained from the Ethics Committee of Institution as well as from Council of Scientific and Industrial Research, Delhi. All patients who agreed to participate in the study signed the written informed consent form. The participants were explained that the study aimed at assessing drinking parameters, psychological and physical health domains, and the severity of alcohol dependence. The assessments would include answering questionnaires, undergoing laboratory investigations, attending group sessions, receiving medication, and involvement of family members/caregivers in the treatment plan. One hundred and fifty healthy controls who were age and gender- matched with the study subjects and had no relevant findings on physical examination and investigations were taken. Exclusion criteria consisted of patients with a history of bipolar disorder, schizophrenia or any psychotic disorder, epilepsy or present condition or history of organic mental disorder or any non stable physical disease, multiple drug abuse. Each patient was administered Mini Mental State Examination (MMSE). Those patients with cognitive deficits (as defined by a score <24 on MMSE) were excluded. The participants were recruited according to the above mentioned inclusion criteria by a qualified psychiatrist after obtaining an informed consent. World Health Organization Quality of Life instrument (WHOQoL BREF version), 26 item questionnaire was administered at baseline and at 3 months follow up who was unaware of the intervention allocation of the subjects. Alcoholic liver disease is defined as damage to the liver and its function due to alcohol abuse. Alcoholic liver disease (ALD) covers a spectrum of injury ranging from fatty liver to alcoholic hepatitis to frank cirrhosis. In a study by Levitsky and Mailliard, [22] the diagnosis of alcoholic liver disease was based on a history of significant alcohol intake, clinical evidence of liver disease, and supporting laboratory abnormalities. Routine laboratory investigations including liver function tests and ultrasound abdomen were carried out for all the participants. The subjects with deranged liver function tests and evidence of liver disease on ultrasound abdomen were included for alcoholic liver disease. Identifiable psychiatric disorders including psychoactive substance related disorders (other than alcohol) as per the DSM IV TR criteria [21] were included under the category of psychiatric co morbidity. The subjects were detoxified using benzodiazepines, vitamin tablets, pharmacological treatment for medical or psychiatric co morbidities, psycho education and counseling sessions for study subjects and family members. Psychosocial intervention included motivational interviewing for the study participants. Psycho educative group sessions for the study subjects comprised of harmful 42 Industrial Psychiatry Journal

3 effects of alcohol, medical complications, craving and relapse prevention and were held once in a week. Apart from the pharmacological interventions, the study subjects and caregivers were educated about different non pharmacological options like Yoga [23] and Alcoholic Anonymous. [24] It was emphasized in the psycho educative group sessions that addicts need to be involved in alternate coping strategies and healthy lifestyle. The caregiver, usually a family member who visited the outpatient clinic most of the times with the patient, had been a reliable informant. Caregivers were involved in the treatment process from the beginning of history taking, examinations, and investigations. The caregivers were psycho educated about various issues in group sessions once in a week like, for example, alcohol and its ill effects on physical and mental health (first session), alcohol dependence is a disorder which requires specialized treatment and care (second session), family support plays a pivotal role in achieving complete abstinence, especially in managing exposure to cues and peer pressures (third session), treatment adherence was duly emphasized in all the follow up visits to the caregivers (all sessions), medical complications (fourth session), social, family, and legal complications were duly explained and their queries were addressed (fifth session). Caregivers were in constant contact with the treating team by means of follow up visits, scheduled psycho educative group sessions for the caregivers once in two weeks. Telephonic contact with the caregivers was ensured. Caregivers were explained the differences between a lapse and a relapse. The study was carried out in a tertiary care teaching government hospital on an outpatient basis, which has free supply of essential drugs, no consultation fees, free or nominal laboratory/ultrasound charges, and free group sessions making the services available to poor people. Socio demographic data which included age, gender, marital status, occupation, education level, monthly income of the patient and family, religion were noted from each participant. The details about alcohol use included severity of dependence, duration of use, quantity, type and frequency of alcohol used per day in the month prior to admission. The data also included the relevant treatment history, previous attempts at abstinence, past, family history, personal history, and findings of general physical and psychiatric examination were collected. Physical consequences of alcohol consumption were obtained through a self report questionnaire for history taking, physical examination findings, and relevant investigation. Social consequences of drinking were assessed using Quantitative Inventory of Alcohol disorders (QIHD). [25] Participants were then administered Severity of Alcohol Dependence Questionnaire (SADQ), [26] which consisted of five sections physical withdrawal, affective withdrawal, withdrawal relief, typical daily consumption, and the morning after two days heavy drinking following at least four weeks of abstinence. Items in the first four sections used a 4 point scale (almost never, sometimes, often, or nearly always). The last section employed a severity scale. The instrument had good reliability and validity. WHO Quality of Life (WHOQOL) BREF is a 26 item multiple choice questionnaire. It assesses a quality of life profile consisting of four domains i.e. physical, psychological, social, and environmental. There are also two items that are examined separately: Question 1 asks about an individual s overall perception of quality of life, and question 2 asks about an individual s overall perception of their health. A pilot study by Da Salva Lima et al. [27] demonstrated that WHO QoL (BREF version) is a valid instrument for the assessment of quality of life in patients with alcohol dependence. Statistical analyses Statistical analysis was done using Statistical Package for Social Sciences (SPSS) version 17.0 (SPSS Inc., Chicago, IL). Comparison between the baseline and three months QoL domain scores of study subjects was carried out using paired t test. Comparison was also made between baseline QoL domain scores of alcohol dependence subjects and healthy controls by using unpaired t test. Pearson correlation coefficients were used to examine the relationship between disease severity and QoL domain scores of the study subjects. Logistic regressions were performed to obtain the relationship by considering difference of three months and baseline domain scores of QoL as dependent factors. Baseline socio demographic variables, duration of alcohol use, liver disease, severity of quantity consumed per day, and psychosocial consequences were entered as independent variables one by one. RESULTS Characteristics of the study population A total of 65 patients were recruited for the study. Five patients dropped out of the study after their first visit. Three of these patients cited reason that they were traveling long distance, and the other two refused to undergo any investigations done. Four patients were excluded from the study because they had alcohol withdrawal delirium, alcohol induced psychosis, or alcohol withdrawal seizures. Mean age of the sample was (±7.32) years. Mean year of education was Industrial Psychiatry Journal 43

4 8.17 (±5.13). Majority were married (89.8%). The regular duration of treatment was years (±8.13). The average daily consumption of alcohol was 169 gm (±160 gm), and psychosocial index was % had alcoholic liver disease. Majority of patients had monthly income of ` 5,000 or below (41%), followed by those between ` 5000 to ` 10,000 (28.6%) and above ` (30.4%). QoL in alcohol dependence subjects The mean scores on WHO QoL- BREF were statistically significant when compared at the baseline and three months follow up [Table 1]. The baseline mean scores of each domain of the WHO QoL- BREF were also compared with age- and sex- matched healthy controls [Table 2]. The physical, psychological, social, and environment domains of Qol in alcohol dependent subjects were significantly lower before treatment initiation than the healthy controls. The results indicated no correlations between the severity of alcohol dependence scores and domain scores of WHOQoL BREF (Physical domain: r = 0.17, P = 0.2; psychological domain: r = 0.19, P = 0.14; social domain: r = 0.04, P = 0.75; environment domain: r = 0.4, P = 0.77). Predictive factors for improvement in QoL In patients with alcohol dependence, there was no significant association in the physical domain of QoL with regards to severity of alcohol dependence, alcohol liver disease, psychosocial consequences, and socio demographic variables. The difference between scores on psychological domain at baseline and three months was calculated. Using the median value of psychological domain score (d2 = 3) as cut off, study subjects were divided into two groups consisting of 36 and 20 subjects. Alcoholic liver disease emerged as significant predictor of improvement in psychological and social domains scores of QoL [Table 3]. Neither severity of disease, psychosocial consequences, duration of regular drinking nor the psychiatric co morbidity appeared to be significant predictors of improvement in QoL for psychological and social domains. The patients monthly income was significantly associated with improvement in environmental domain of quality of life [Table 4]. DISCUSSION Consistent with previous reports that employed a variety of instruments to measure QoL, clinical characteristics and drinking parameters, the present study demonstrated substantial impairment in QoL in all the domain scores before treatment initiation. [11,28] The domain scores on QoL were significantly lower in patients with alcohol dependence when compared with healthy controls. This has also been observed by another Indian study by Pal et al. [29] Table 1: Baseline domain scores of the WHO QoL BREF (n=56) compared with 3 months domain scores (n=56) after treatment intervention using paired t test Domain Mean (±SD) T df Significance (2 tailed) Physical Baseline 21.45± months 27.00± Psychological Baseline 18.39± months 21.34± Social Baseline 9.04± months 10.34± Environment Baseline 24.07± months 27.25± Table 2: Domain scores of the WHOQoL BREF (n=56) alcohol dependence patients compared with healthy controls (n=150) using independent sample t test Domain Alcohol dependence (N=56) Healthy controls (N=150) t df Significance (2 tailed) Physical Psychological Social relations Environment Table 3: Variables associated with improvement in psychological and social domains of WHOQoL BREF at baseline and three months follow up using logistic regression analysis, (n=56) Variable tested, yes vs. no (OR=1), odd ratio (95% C1) Domain Odds ratio (95. c1) P value Psychological Alcoholic liver disease (.08, 0.85) Severity of alcohol 1.02 (.97, 1.08) dependence Psychosocial consequences 1.02 (.85, 1.23) Social Psychiatric co morbidity 0.78 (.38,1.59) Severity of alcohol 0.97(.93, 1.02) dependence Duration of regular 1.02 (.96, 1.099) drinking (years) Alcohol liver disease (0.088, 0.813) 0.02 We did not find any significant correlation between domain scores of WHOQoL BREF and scores of Severity of Alcohol Dependence Questionnaire (SADQ). Lahmek et al. [30] also reported no significant association 44 Industrial Psychiatry Journal

5 Table 4: Variables associated with improvement in environment domain baseline and three months follow up using logistic regression analysis, 56 study subjects. Variable tested, yes vs. no (OR=1) odd ratio (95% C1) Environment Odds ratio (95%) CI) P value Education (years) 0.90 (0.808, 1.01) Patient s monthly 0.43 (0.22, 0.84) income (Rupees) Average daily alcohol Consumption (grams) 0.99 (0.89, 1.00) of improvement in physical and mental component scores of QoL with severity of alcohol dependence. The improvements in different domains of QoL were associated with several factors like alcoholic liver disease, average daily alcohol consumption, level of education, and monthly income of the patients. [31] QoL improved significantly in all the domains when the subjects were abstinent for 3 months. This has also been reported by few previous studies. [20,28,32 34] Several factors could explain the improvement in QoL: i.e. complete abstinence, effective control of withdrawal symptoms, feedback about deranged liver function tests and other medical complications, use of patient friendly therapeutic facilities, regular presence of a close family member during the follow up visits, free medications and investigations, and outpatients consultations services, and effective management of psychiatric co morbidity and medical complications using Liaison services in a tertiary care hospital. This study demonstrates that it is possible to improve quality of life in patients of alcohol dependence with minimum financial resources in a developing country and achieve complete abstinence. The involvement of caregivers in the treatment plan encourages patients to adhere to treatment plan and continue to work. Furthermore, the study used standardized instruments and relevant investigations. Limitations Few limitations in the study exist. The study included small sample size and short duration of follow up of 3 months. Longer duration of follow up could have predicted the impact of certain treatment related variables on QoL in these patients. CONCLUSION AND FUTURE DIRECTIONS To conclude, the present study found poor quality of life in alcohol dependent Indian patients before treatment initiation. The regular follow up in an out patient setting along with the caregivers improve the compliance and enables the patients to pursue their work and take up other responsibilities. This enhances the self esteem and achieves complete abstinence, thereby improving their quality of life. Findings stress the need of public health officials to incorporate quality of life as an important measure to evaluate treatment outcome in alcohol dependence whose natural course consists of relapses. Treatment of alcohol dependence with a favorable outcome is possible with minimal financial resources, regular follow up, and the involvement of caregivers. There is a need to create general awareness in public that alcohol dependence is a disorder that requires immediate attention. ACKNOWLEDGMENT This project was undertaken during Senior Research Fellowship approved by Council of Scientific and Industrial Research (C.S.I.R), India. REFERENCES 1. Global status report on alcohol. Geneva: World Health Organization; Peters DH, Preker AS, Yazbek AS, Sharma RR. Better health systems for India s poor: Findings analysis and options. In: Dror D, Preker AS, editors. Health Financing. Washington, DC: The World Bank; Mohan D, Chopra A, Ray R, Sethi H. Alcohol consumption in India: A cross sectional study. In: Room R, Demers A, Bourgault C, editors. Surveys of drinking patterns and problems in seven developing countries. Geneva: World Health Organization; p Jacob T, Seilhamer RA. 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6 and well being of persons who seek treatment for drug and alcohol use. J Subst Abuse 1998;10: Welsh JA, Buchsbaum DG, Kaplan CB. Quality of life of alcoholics and non alcoholics: Does excessive drinking make a difference in the urban setting? Qual Life Res 1993;2: Daeppen JB, Krieg MA, Burnand B, Yersin B. MOS SF 36 in evaluating health related quality of life in alcohol dependent patients. Am J Drug Alcohol Abuse 1998;24: Volk RJ, Cantor SB, Steinbauer JR, Cass AR. Alcohol use disorders, consumption patterns, and health related quality of life of primary care patients. Alcohol Clin Exp Res 1997;21: Foster JH, Powell JE, Marshall EJ, Peters TJ. Quality of life in alcohol dependent subjects a review. Qual Life Res 1999;8: Hunt SM, McEwen J. The development of a subjective health indicator. Sociol Health Illn 1980;2: McKenna M, Chick J, Buxton M, Howlett H, Patience D, Ritson B. The SECCAT survey: I. The costs and consequences of alcoholism. Alcohol Alcohol 1996;31: Foster JH, Peters TJ, Marshall EJ. Quality of life measures and outcome in alcohol dependent men and women. Alcohol 2000;22: American Psychiatric Association. Diagnostic and statistical manual of mental disorders. 4 th ed. Text revision.washington, DC: American Psychiatric Association; da Silva Lima AF, Fleck M, Pechansky F, de Boni R, Sukop P. Psychometric properties of the World Health Organization quality of life instrument (WHOQoL BREF) in alcoholic males: A pilot study. Qual Life Res 2005;14: Vedamurthachar A, Janakiramaiah N, Hegde JM, Shetty TK, Subbakrishna DK, Sureshbabu SV, et al. Antidepressant efficacy and hormonal effects of Sudarshan Kriya Yoga (SKY) in alcohol dependent individuals. J Affect Disord 2006;94: Morgan TJ, Morgenstern J, Blanchard KA, Labouvie E, Bux DA. Health related quality of life for adults participating in outpatient substance abuse treatment. Am J Addict 2003;12: Stinnett JL, Schechter JO. A quantitative inventory of alcohol disorders (QIAD): A severity scale for alcohol abuse. Am J Drug Alcohol Abuse ;9: Stockwell T, Hodgson R, Edwards G, Taylor C, Rankin H. The development of a questionnaire to measure severity of alcohol dependence. Br J Addict Alcohol Other Drugs 1979;74: Levitsky J, Mailliard ME. Diagnosis and therapy of alcoholic liver disease. Semin Liver Dis 2004;24: Kraemer KL, Maisto SA, Conigliaro J, McNeil M, Gordon AJ, Kelley ME. Decreased alcohol consumption in outpatient drinkers is associated with improved quality of life and fewer alcohol related consequences. J Gen Intern Med 2002;17: Pal HR, Yadav D, Mehta S, Mohan I. A comparison of brief intervention versus simple advice for alcohol use disorders in a North India community based sample followed for 3 months. Alcohol Alcohol 2007;42: Lahmek P, Berlin I, Michel L, Berghout C, Meunier N, Aubin HJ. Determinants of improvement in quality of life of alcohol dependent patients during an inpatient withdrawal programme. Int J Med Sci 2009;6: Morgan MY, Landron F, Lehert P; New European Alcoholism Treatment Study Group. Improvement in quality of life after treatment for alcohol dependence with acamprosate and psychosocial support. Alcohol Clin Exp Res 2004;28: Amodeo M, Kurtz N, Cutter HS. Abstinence, reasons for not drinking, and life satisfaction. Int J Addict 1992;27: Pelc I, Ansoms C, Lehert P, Fischer F, Fuchs WJ, Landron F, et al. The European neat program: An integrated approach using acamprosate and psychosocial support for the prevention of relapse in alcohol dependent patients with a statistical modeling of therapy success prediction. Alcohol Clin Exp Res 2002;26: Watson CG, Hancock M, Gearhart LP, Mendez CM, Malovrh P, Raden M. A comparative outcome study of frequent, moderate, occasional, and nonattenders of alcoholics anonymous. J Clin Psychol 1997;53: How to cite this article: Srivastava S, Bhatia MS. Quality of life as an outcome measure in the treatment of alcohol dependence. Ind Psychiatry J 2013;22:41-6. Source of Support: This project was undertaken during Senior Research Fellowship supported by Council of Scientific and Industrial Research (C.S.I.R), India. Conflict of Interest: None declared. 46 Industrial Psychiatry Journal

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